introduction
The B.Sc. (Honors) Data Science is a degree program under the National Education Policy (NEP) semester pattern for Three / Four years. Data science is designed to equip professionals with the skills necessary to excel in today’s data-driven world. The aim of the B.Sc. (Honors) (Data Science) program is to empower students with a comprehensive understanding of the principles, methodologies and technologies essential for harnessing the power of data.
Through a curriculum that integrates statistical foundations, programming proficiency, and advanced data analysis techniques, students will develop the skills required to collect, pre-process, and analyze data effectively. The program emphasizes hands-on experience, enabling students to apply machine learning algorithms and big data technologies to real-world challenges. The college provides well-furnished smart classrooms and Wi-Fi enabled campus and world-class infrastructure facilities for students well experienced, qualified and dedicated faculty. The college has tie-ups with the leading IT Industries for the benefit of the students. The Program provides necessary training through placement cell to make students fit for the current corporate needs.
Through a curriculum that integrates statistical foundations, programming proficiency, and advanced data analysis techniques, students will develop the skills required to collect, pre-process, and analyze data effectively. The program emphasizes hands-on experience, enabling students to apply machine learning algorithms and big data technologies to real-world challenges. The college provides well-furnished smart classrooms and Wi-Fi enabled campus and world-class infrastructure facilities for students well experienced, qualified and dedicated faculty. The college has tie-ups with the leading IT Industries for the benefit of the students. The Program provides necessary training through placement cell to make students fit for the current corporate needs.
AIM OF THE PROGRAM:
This data science course introduces statistical thinking – starting with an interesting question and using the data and software tools to form a reasonable conclusion. The Data Science course relates the content to a demonstrable skill that can be immediately applied in the workplace. Students who enroll in this program will: Learn the meaning, purpose, scope, stages, applications, and effects of data science. Gain an in-depth understanding of data structure and data manipulation. This course gains a thorough understanding of the concepts and gain practical mastery over principles, algorithms, and applications of data science.
The proposed course comprises key technologies, including R, Python, Matplotlib and Tableau. Students will also gain an understanding of supervised and unsupervised learning models. Upon graduation, students will be able to Identify a business problem or opportunity and how data analytics may be applied to solve the problem and/or increase business value
The proposed course comprises key technologies, including R, Python, Matplotlib and Tableau. Students will also gain an understanding of supervised and unsupervised learning models. Upon graduation, students will be able to Identify a business problem or opportunity and how data analytics may be applied to solve the problem and/or increase business value
DURATION OF THE PROGRAM:
The B.Sc. (Honors) Data Science. Degree course is for Three/ Four years and spread over eight consecutive semesters. The maximum duration to acquire the prescribed number of credits in order to complete the Program of Study shall be Eight Semester consecutive semesters (4 Years) for B.Sc. (Honors) Data Science with Research and Six Semesters (3 Years) for B.Sc. (Honors) (Data Science).
ELIGIBILITY FOR ADMISSION:
The candidates for admission to this programme shall be required to have passed the 10+2 / 10+3 system of examinations or equivalent with mathematics/business mathematics / Computer Science/Computer Applications/Information Practices/equivalent as one of the subjects of study. Students shall be admitted to this programme based on admissions criteria fixed by the University / Government of Puducherry from time to time.
AGE LIMIT:
Candidates must have completed 17 years as of July of the academic year and should be below 21 years of age as of July of the year. In the case of physically handicapped, scheduled caste and scheduled tribe candidates, the age relaxation will be considered for three years as per norms.
LATERAL ENTRY FOR ADMISSION (From the Academic Year 2024-25):
As per NEP, students have a choice of exit and entry into the programme multiple times. UGC specifies that about 10% of seats over and above the sanctioned strength shall be allocated to accommodate the Lateral Entry students. Candidates seeking entry in the second, third and fourth year should meet the necessary eligibility criteria with respect to the certificate/diploma/degree they possess, with the necessary minimum credits banked in the Academic Bank of Credits (ABC). Such students who get admitted in later years, other than the first year, will be guided by the following clauses:
- The University shall notify the admission process and the number of vacancies open for lateral entry. that the Lateral entrants shall be admitted only after such a transparent screening process and such procedure that the University may prescribe from time to time. University may prescribe different methods of screening for different programmes depending on the circumstances prevailing in each case.
- Lateral entry shall be permissible only at the beginning of years 2, 3, and 4 of the Under Graduate / Honors programme, provided that the students seeking lateral entry shall have obtained the minimum pass marks/grades fixed by the University in their previous academic years.
Medium of Course
The medium of instruction is English Language.
| Sl.No | Name of the program (NEP 2020) | Duration of the program | Whether Semester/ Non-Semester | Student Intake |
|---|---|---|---|---|
| 1 | Bachelor of Data Science with Honors / Honors with Research | Three / Four Years | Semester | 60 |
PROGRAM OF STUDY
Students will apply the scientific knowledge acquired in class rooms and laboratory in real-life situations and work environment. The course of study for B.Sc. (Honors) (Data Science) and B.Sc. (Honors) (Data Science) with Research Degree shall comprise
Semester I
Semester II
Semester III
Semester IV
Semester V
Semester VI
Semester VII
Semester VIII (Honors)
Semester VIII (Honors with Research)
Semester I
- Digital Logics and Fundamentals (MJD 1)*
- Foundations of Data Science-I (MID 1)*
- Natural Sciences (MLD 1)*
- English I (AEC 1)*
- Python Programming (SEC 1)*
- Understanding India (VAC 1)*
- Environmental Sciences/Education (VAC 1)*
Semester II
- Problem Solving & Programming Fundamentals (MJD 2)*
- Foundations of Data Science-II (MID 2)*
- Physical Sciences (MLD 2)*
- Indian Language I (AEC 2)*
- Exploratory Data Analysis with Python or Data wrangling with R (SEC 2)*
- Health & Wellness/Yoga Education (VAC 3)
- Digital Technologies (VAC 4)
Semester III
- Mathematical Foundations of CS (MJD 3)*
- Data Structures (MJD 4)*
- Probability & Statistics (MID 3)*
- English II (AEC 3)*
- Interactive Data Visualization or Financial Data Analytics (SEC 3)*
Semester IV
- Computer System Architecture (MJD 5)*
- Design and Analysis of Algorithms (MJD 6)*
- Object Oriented Programming (MJD 7)*
- Applied Regression Analysis (MID 4)*
- Indian Language II (AEC 4)*
- Community Engagement and Service (Project)*
Semester V
- Operating Systems (MJD 8)*
- Database Management Systems (MJD 9)*
- Management Strategies & Concepts (MJD 10)*
- Artificial Neural Networks (MID 5)*
- Summer Internship (MJD 11)*
Semester VI
- Computer Networks (MJD 12)*
- Software Engineering Theory and Practice (MJD 13)*
- System Modelling & Simulation (MJD 14)*
- Web Engineering (MJD 15)*
- Massive Data Management or Hadoop Eco System (MID 6)*
Semester VII
- Software Testing and Quality Assurance (MJD 16)*
- Distributed Systems (MJD 17)*
- Wireless Communication Networks (5G) (MJD 18)*
- Big Data Analytics or Predictive Analytics (MID 7)*
- Data Mining or Text and Speech Analytics (MID 8)*
Semester VIII (Honors)
- Machine Learning or Health Care analytics (MJD 19)*
- Business analytics or Social Network Analysis (MJD 20)*
- Deep Learning (MJD 21)*
- Time Series Analysis (MJD 22)*
- Natural Language Processing (MJD 23)*
Semester VIII (Honors with Research)
- Machine Learning or Health Care analytics (MJD 19)*
- Business analytics or Social Network Analysis (MJD 20)*
- Research Project (MJD 21)*
- Project Report (MJD 22)*
- Project Viva-voce (MJD 23)*
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